Hi! I am Shubhanshu Gupta
I am a data-driven product manager with 8+ years of experience building consumer products. I have experience founding a B2C/C2C start-up and working as a software engineer in early-stage startups, where I built products from scratch & honed a customer centric entrepreneurial mindset.
With a solid technical background in data science, including a patent for a machine learning tool, I have accrued the skills of prioritizing customer needs and the ability to communicate complex technical concepts to non-technical stakeholders.
Currently, as a Product Manager, Domestic & Cross-Border Payments, I orchestrate end-to-end payment innovation, including conceptualization, ensuring intuitive & frictionless customer experience, securing governance approvals, and final product delivery.
My professional interests include product management, data science, design thinking, and startups. Prior to joining Citi, I have worked as a Data Scientist in ad-tech and banking domain in Singapore.
I pursued my Masters in Business Analytics with specialization in Consumer and Big Data Analytics from National University of Singapore (NUS). I earned a B.Tech degree in Information and Communication Technology (ICT) from Dhirubhai Ambani Institute of ICT.
In my data science experience, I led the AI/ML Centre of Excellence (CoE), collaborated with cross-functional teams & stakeholders. This involved gathering requirements for crafting use cases, building POCs through rapid prototyping in areas like Data Governance, Wealth Management, & Infrastructure Monitoring.
In my software engineering experience, I handled various engineering roles and projects including product backend, devOps, and analytics. Agile methodology, clear communication with stakeholders, and continuous development in short sprints, are some of the values I accrued while working with small and dynamic teams in growth startups.
I also founded a B2C/C2C hyperlocal marketplace startup. Scaled up the business to 1000 paid MAUs spanning around 35 locations in less than six months. Received seed funding from iCreate and incubation in India. Built a 15 member team for product and business development.
I have two publications in peer-reviewed conferences. I presented my first publication, “Music Data Analysis: A State-of-the-art Survey”, at the ASE BigData Conference at Harvard University. The second peer-reviewed publication, “Social Data Analysis: A Study on Friends Rating Influence”, got selected in WWC Connect 2017 Conference, VMWare India. Most recently, I filed a Patent in US & Singapore, for a Machine Learning tool that I built as a lead inventor, when I was leading the AI/ML Center of Excellence at Citibank.
I constantly wish and strive to contribute actively in the community. Some of the organizations in which I am contributing by teaching or volunteering are Code in the Community run by Saturday Kids in collaboration with Google, and PyData – Singapore. I also mentor students and early age professionals by providing guidance related to career progression, university applications, life & career in Singapore, etc. You can read why I am doing this, and of-course, feel free to book a time slot here: 
The details about my experience in research, teaching, work, other professional and community contribution can be found in my resume.
